Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
4
click to vote
HICSS
2009
IEEE
favorite
Email
discuss
report
172
views
Biometrics
»
more
HICSS 2009
»
Using Wikis to Support Constructivist Learning: A Case Study in University Education Settings
13 years 11 months ago
Download
csdl2.computer.org
Franck Tétard, Erkki Patokorpi, Kristian Pa
Real-time Traffic
Biometrics
|
HICSS 2009
|
System Sciences
|
claim paper
Related Content
»
Utilizing WikiSystems in higher education classes a chance for universal access
»
Predicting Students Drop Out A Case Study
»
New Approaches to Law Education Making the Case for Webbased Learning
»
Knowledge Management System for Emergency Preparedness An Action Research Study
»
Using technologies in teaching an initiative in academic staff development
»
MobileMiner a real world case study of data mining in mobile communication
»
Utilizing multimedia capabilities of mobile phones to support teaching in schools in rural...
»
Evaluating a Collaborative Constraintbased Tutor for UML Class Diagrams
»
Quality enhancement for elearning courses The role of student feedback
more »
Post Info
More Details (n/a)
Added
19 May 2010
Updated
19 May 2010
Type
Conference
Year
2009
Where
HICSS
Authors
Franck Tétard, Erkki Patokorpi, Kristian Packalén
Comments
(0)
Researcher Info
Biometrics Study Group
Computer Vision